Cross-media retrieval: state-of-the-art and open issues
文献类型:期刊论文
作者 | Jing Liu![]() ![]() ![]() |
刊名 | International Journal of Multimedia Intelligence & Security
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出版日期 | 2010 |
卷号 | 1期号:1页码:33-52 |
关键词 | Cross-media Retrieval Semantic Understanding Multimedia Correlation. |
英文摘要 | Cross-media retrieval is able to provide retrieval results with similar semantics but different media to the query. Since cross-media retrieval complements currently popular text/content-based retrieval which provides retrieval results with the same media to the query, it becomes an emerging research topic. In this paper, we give an overview of recent advances and research challenges in cross-media retrieval. Such retrieval paradigm has been driven by the wide availability of large multimedia resources on the web, innovative approaches to semantically understanding various multimedia objects, and novel machine learning techniques for the interactive mappings among heterogeneous feature spaces. Emphasising on these respects, we review the state-of-the-art approaches and achieved progresses in cross-media retrieval. According to the current technologies used in cross-media retrieval and the demand from real-world applications, open research issues and future research opportunities are identified. |
源URL | [http://ir.ia.ac.cn/handle/173211/13438] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
通讯作者 | Jing Liu |
推荐引用方式 GB/T 7714 | Jing Liu,Changsheng Xu,Hanqing Lu. Cross-media retrieval: state-of-the-art and open issues[J]. International Journal of Multimedia Intelligence & Security,2010,1(1):33-52. |
APA | Jing Liu,Changsheng Xu,&Hanqing Lu.(2010).Cross-media retrieval: state-of-the-art and open issues.International Journal of Multimedia Intelligence & Security,1(1),33-52. |
MLA | Jing Liu,et al."Cross-media retrieval: state-of-the-art and open issues".International Journal of Multimedia Intelligence & Security 1.1(2010):33-52. |
入库方式: OAI收割
来源:自动化研究所
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